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ARR Data Collection Initiative 2026

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dataset_v1_nopdf.zip (9.06 MB)
 dataset_v1.zip (6.02 GB)

Date

2026-05-29

Type

Text

Authors

Lu, Sheng
Dycke, Nils
Tonja, Atnafu Lambebo
Solorio, Thamar
Zhu, Xiaodan
Dercksen, Koen
Qu, Lizhen
Mieskes, Margot
Hovy, Dirk
Gurevych, Iryna

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Abstract

Description

Dataset of peer review reports, meta-reviews, reviewer-author discussions, and paper drafts collected from ACL Rolling Review within the context of the new data collection initiative (https://arr-data.aclweb.org/protocol/). All included data is explicitly licensed by the authors and reviewers for publication. This dataset is not meant for commercial purposes. This dataset should not be used for pre-training of neural models such as large language models. V1 contains accepted paper data from EACL 2026.

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Identifier

https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/5159

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Related Resources

Continues
https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4675.2
Is Part Of
https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4459

DFG Classification

4.43-04 Künstliche Intelligenz und Maschinelle Lernverfahren
4.43-05 Bild- und Sprachverarbeitung, Computergraphik und Visualisierung, Human Computer Interaction, Ubiquitous und Wearable Computing

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License

CC BY-NC 4.0 - Attribution-NonCommercial 4.0 International
Except where otherwise noted, this license is described as CC BY-NC 4.0 - Attribution-NonCommercial 4.0 International